GEO and AEO: How Chicago Businesses Get Found in AI Search Results

ChatGPT, Perplexity, Google AI Overviews, and Bing Copilot are changing how people find local businesses. GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) are the disciplines for getting your business cited in AI-generated answers. Here's what actually works.

Joseph Alvarado Founder, Digital Outbreak

What Is GEO and AEO?

GEO (Generative Engine Optimization) is the practice of optimizing your online presence to be cited and referenced by AI-powered search tools — Google AI Overviews, ChatGPT, Perplexity, Bing Copilot, and others.

AEO (Answer Engine Optimization) is the practice of structuring your content to directly answer specific questions so that AI systems can extract and surface your answer in response to user queries — without requiring the user to click through to your site.

Traditional SEO optimizes for ranking. GEO and AEO optimize for citation and extraction. The user behavior is shifting: a growing share of searches — especially informational queries — are being answered directly by AI without a click. If your business isn’t the one being cited, your competitor is.

Why this matters now

AI Overviews now appear on a significant share of Google searches. Perplexity processes hundreds of millions of queries monthly. ChatGPT’s browsing mode actively reads and cites current web content. Businesses that optimize for AI citation today are building a moat that will compound as AI search share grows.

How AI Answers Local Business Queries

When someone asks an AI engine “who is the best web design agency in Chicago?” or “what should I look for in a local SEO company?”, the AI isn’t running a live popularity contest. It’s synthesizing information from sources it has indexed — websites, reviews, directories, structured data — and constructing an answer.

The factors that determine whether your business gets cited are different from traditional organic ranking factors:

Passage-level extractability: Can the AI pull a clean, coherent answer from your page without ambiguity? Pages that answer questions directly — with the question as a heading and the answer in the immediately following paragraph — are more citeable than pages that bury answers in long prose.
Entity disambiguation: Does the AI know clearly that your business is a real, distinct entity? This is driven by schema markup, consistent NAP data, GBP presence, and mentions in authoritative third-party sources.
Topical authority: Has your site published enough relevant content on a topic for the AI to consider you a credible source? A single service page isn’t enough. A hub-and-spoke content architecture with multiple posts on related topics signals depth of expertise.
Content freshness: AI crawlers re-index frequently. Outdated content, incorrect facts, or content with stale statistics is less likely to be surfaced.

Google AI Overviews

Google AI Overviews (formerly SGE) appear at the top of search results for many informational and some commercial queries. They synthesize an answer from multiple sources and display it before any organic blue links.

Getting cited in an AI Overview requires your content to pass what Google calls “helpful content” standards — original expertise, real experience, accurate information, and clear attribution to a knowledgeable author or organization. The E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) is Google’s internal quality lens for this evaluation.

Practical steps for AI Overview inclusion

Write content that directly answers the question asked — not content that circles around it
Include first-person experience signals: “We’ve built 50+ sites for Chicago contractors and found that…”
Cite specific data, examples, and outcomes rather than generic statements
Ensure author attribution is visible and linked to an author page with credentials
Use FAQ schema on pages that answer specific questions — AI systems extract FAQ content preferentially

ChatGPT and Perplexity

ChatGPT’s browsing mode and Perplexity both actively crawl and cite web pages in real-time. When a user asks either tool for a service recommendation or information query, they receive a synthesized answer with citations.

Getting cited in these tools requires your content to be:

Publicly accessible (not behind a login or paywall)
Indexable by their crawlers (OpenAI’s GPTBot, PerplexityBot — check that neither is blocked in your robots.txt)
Written in clear, extractable prose that directly answers real questions
Supported by evidence: statistics, case studies, specific examples that make your answer more authoritative than a generic competitor page

Check your robots.txt

If your robots.txt blocks GPTBot or PerplexityBot, you’re invisible to ChatGPT and Perplexity’s real-time browsing. Blocking these crawlers opts you out of AI citation. Allowing them (the default if you haven’t modified your robots.txt) keeps you eligible. A technical SEO audit will verify your current crawler configuration.

llms.txt: The New robots.txt

A newer convention gaining adoption is the llms.txt file — a plain-text file placed at the root of your site that provides AI systems with a structured summary of who you are, what you do, and what content is available on your site. It’s designed to be read by LLMs directly, rather than inferred from crawled pages.

A well-crafted llms.txt file includes your business description, services, case studies, and a curated list of your most important pages. Think of it as a press kit specifically formatted for AI systems. Sites that implement it signal to AI crawlers that they want to be indexed and cited — and they make it easier for AI to accurately represent them.

The format is simple: a markdown-formatted document at yourdomain.com/llms.txt with sections for your overview, services, case studies, and a page index. Early adopters of this convention are building a citation advantage that will compound as AI search matures.

Schema Markup for AI Visibility

Structured data (schema.org JSON-LD) is one of the clearest signals you can send to AI systems about your business identity. Specifically:

LocalBusiness / ProfessionalService schema: Your business name, address, phone, service area, hours, and service types — in machine-readable format. This is how AI systems build confident entity profiles for your business.
FAQPage schema: FAQ blocks marked up with FAQPage schema are highly extractable by AI systems. Each question-and-answer pair is a discrete, citable unit.
Article and BlogPosting schema: Tells AI crawlers this is editorial content with a specific author, publication date, and topic — increasing its weight as a citeable source.
Review schema: Client testimonials marked up with Review schema contribute to your entity’s reputation profile in AI knowledge graphs.

Content That Gets Cited

The content patterns that consistently get cited by AI systems share a few structural characteristics:

Direct question-answer structure

An H2 heading that is literally the question (“How much does web design cost in Chicago?”) followed immediately by a direct, specific answer is the most extractable content format. AI systems parse heading + following paragraph as a discrete answer unit.

Specific over generic

“Most Chicago roofing projects cost $8,000–$15,000 depending on square footage and material” is more citable than “roofing costs vary.” AI systems synthesize answers from multiple sources — specific data points that can be cross-validated with other sources earn citation priority.

Original research and experience

Content that references your own data (“In our work with 50+ Chicago small businesses, we’ve found…”), client outcomes, or original analysis is more valuable to AI than content that aggregates publicly available information. AI systems are looking for sources that add information to the web, not redistribute it.

Consistent entity mentions

Your business name appearing consistently across your own content, third-party reviews, directory listings, and cited articles builds AI confidence in your entity. An AI that sees “Digital Outbreak” mentioned with consistent context across 50 sources develops a stronger entity model than one that sees it mentioned once.

GEO for Chicago Local Businesses

For Chicago-area local businesses, GEO and AEO have a specific local dimension. When someone asks ChatGPT “who are the best SEO agencies in Chicago?” or asks Google’s AI Overview “what should I look for in a Chicago web designer?”, location-specific content performs better than generic content.

Practical applications:

Write blog content that explicitly addresses Chicago-specific factors, examples, and context — not just national generalizations
Reference local landmarks, neighborhoods, counties, and regional terms that anchor your content to the Chicago market
Build local citations that mention your Chicago service area consistently (Yelp, Houzz, Angi, Chamber of Commerce directories)
Ensure your Google Business Profile accurately represents your service area — GBP data is a primary source for AI systems building local business entity profiles
Case studies from Chicago and Chicagoland clients serve double duty: they prove local experience to human readers and provide geo-anchored content for AI citation

GEO and AEO optimization included

Our local SEO service includes GEO and AEO optimization — llms.txt setup, schema implementation, AI crawler access configuration, and content structure built for both Google rankings and AI citation.

See our SEO services →

Frequently Asked Questions

What is the difference between GEO and AEO?

GEO (Generative Engine Optimization) focuses on getting your brand cited in AI-generated answers from ChatGPT, Perplexity, and Google AI Overviews. AEO (Answer Engine Optimization) is about structuring content to directly answer specific questions. In practice, the tactics overlap significantly — good AEO content is what enables GEO citations.

Does showing up in AI search results actually drive traffic?

Yes, though the mechanism differs from traditional clicks. AI citations build brand awareness and trust — users who see your business cited across multiple AI tools are more likely to search for you directly. As AI search share grows, citations will increasingly influence purchase decisions.

How do I get my Chicago business cited in ChatGPT or Perplexity?

Build a strong presence across authoritative sources: a complete GBP, consistent positive reviews, local news mentions, industry directories, and structured content on your site that directly answers common questions in your niche. AI models cite sources they trust, so authority signals matter.

Is GEO replacing traditional SEO?

No — it's layering on top of it. Traditional Google rankings still drive the majority of web traffic. GEO and AEO extend your visibility into AI-powered surfaces. The businesses doing both will have a compounding advantage as AI search share grows over the next few years.

What is an llms.txt file and do I need one?

llms.txt is an emerging standard that tells AI crawlers what content on your site is available for citation and how to use it. It's not yet universally adopted, but forward-thinking businesses are implementing it now to signal AI-readiness and help models correctly represent their services.

How quickly can I improve my AI search visibility?

Meaningful improvement typically takes 2–3 months of consistent effort — creating citeable content, building brand mentions, and ensuring your structured data is correct. Unlike traditional SEO, there are no ranking trackers yet, so measurement relies on manual testing across AI platforms.